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» A Framework for Adaptive Visualization
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SMI
2005
IEEE
157views Image Analysis» more  SMI 2005»
16 years 8 days ago
3D Object Retrieval using Many-to-many Matching of Curve Skeletons
We present a 3D matching framework based on a many-to-many matching algorithm that works with skeletal representations of 3D volumetric objects. We demonstrate the performance of ...
Nicu D. Cornea, M. Fatih Demirci, Deborah Silver, ...
MIR
2005
ACM
138views Multimedia» more  MIR 2005»
16 years 8 days ago
Evaluation strategies for image understanding and retrieval
We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for e...
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, ...
DSSCV
2005
Springer
16 years 7 days ago
From Stochastic Completion Fields to Tensor Voting
Abstract. Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. H...
Markus van Almsick, Remco Duits, Erik Franken, Bar...
FASE
2005
Springer
16 years 7 days ago
Termination Criteria for Model Transformation
Model Transformation has become central to most software engineering activities. It refers to the process of modifying a (usually graphical) model for the purpose of analysis (by i...
Hartmut Ehrig, Karsten Ehrig, Juan de Lara, Gabrie...
ICAPR
2005
Springer
16 years 6 days ago
Designing a Fast Convolution Under the LIP Paradigm Applied to Edge Detection
The Logarithmic Image Processing model (LIP) is a robust mathematical framework for the processing of transmitted and reflected images. It follows many visual, physical and psycho...
José M. Palomares, Jesús Gonzá...